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In the present article, the dynamics of a novel combination of ratio-dependent incidence rate and saturated treatment rate in susceptible-infected-recovered disease compartmental model has been presented. The ratio-dependent incidence rate has been incorporated into the model to monitor the situation when ratio of the number of infectives to that of the susceptibles is getting higher. The saturated treatment rate of the infected population has been considered as Holling type II functional, which explains the limitation in treatment availability. From the mathematical analysis of the model, two types of equilibria of the model have been obtained, which are named as disease-free equilibrium (DFE) and endemic equilibrium (EE). The local stability behavior of equilibria has been investigated by the basic reproduction number [Formula see text], center manifold theory and Routh-Hurwitz criterion. It has been investigated that the DFE is locally asymptotically stable when [Formula see text], and when [Formula see text], the DFE exhibits either a forward bifurcation or a backward bifurcation under some conditions. The local stability behavior of the EE has also been analyzed, and some conditions are obtained for the same. Finally, some numerical computations have been performed in support of our theoretical results.PURPOSE To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan. MATERIALS AND METHODS This retrospective study included 21 patients clinically suspected COVID-19 pneumonia and underwent chest CT more than 3&nbsp;days after the symptom onset six patients confirmed COVID-19 pneumonia by real-time reverse-transcription polymerase chain reaction (RT-PCR) and 15 patients proved uninfected. Using a Likert scale and its receiver operating characteristic curve analysis, two radiologists (R1/R2) evaluated the diagnostic performance of the five CT criteria (1) ground glass opacity (GGO)-predominant lesions, (2) GGO- and peripheral-predominant lesions, (3) bilateral GGO-predominant lesions; (4) bilateral GGO- and peripheral-predominant lesions, and (5) bilateral GGO- and peripheral-predominant lesions without nodules, airway abnormalities, pleural effusion, and mediastinal lymphadenopathy. RESULTS All patients confirmed COVID-19 pneumonia had bilateral GGO- and peripheral-predominant lesions without airway abnormalities, mediastinal lymphadenopathy, and pleural effusion. The five CT criteria showed moderate to excellent diagnostic performance with area under the curves (AUCs) ranging 0.77-0.88 for R1 and 0.78-0.92 for R2. The criterion (e) showed the highest AUC. CONCLUSION Chest CT would play a supplemental role to differentiate COVID-19 pneumonia from other respiratory diseases presenting with similar symptoms in a clinical setting.PURPOSE The purpose of this study was to evaluate the delineation of nerve fiber bundles in the brainstem and optic radiation in infants associated with aging on T1WI, T2WI, and phase difference-enhanced (PADRE) images. MATERIALS AND METHODS We retrospectively reviewed 21 consecutive subjects less then  2&nbsp;years old who underwent brain MRI without abnormal imaging findings. Two neuroradiologists evaluated the eight nerve fiber bundles in the brainstem and optic radiation using a 3-point scale focused on the contrast to surrounding brain parenchyma. We also evaluated the signal ratio of the optic radiation to surrounding white matter on PADRE for each month age. RESULTS T2WI was able to delineate nerve fiber bundles better than T1WI at 1&nbsp;month old, and the images gradually became unclear with aging. On PADRE, almost all nerve fiber bundles were unclear or invisible at 1&nbsp;month old but gradually became clearer with aging. There was a significant negative correlation between age and the signal ratio of the optic radiation to surrounding white matter. CONCLUSIONS The PADRE imaging was able to delineate the nerve fiber bundles in infants, and the delineation gradually became clearer with aging. The combination of PADRE, T1WI, and T2WI would be useful for evaluation of nerve fiber bundles in infants.Effect size indices are useful tools in study design and reporting because they are unitless measures of association strength that do not depend on sample size. Existing effect size indices are developed for particular parametric models or population parameters. Here, we propose a robust effect size index based on M-estimators. This approach yields an index that is very generalizable because it is unitless across a wide range of models. [https://www.selleckchem.com/products/midostaurin-pkc412.html https://www.selleckchem.com/products/midostaurin-pkc412.html] We demonstrate that the new index is a function of Cohen's d, [Formula see text], and standardized log odds ratio when each of the parametric models is correctly specified. We show that existing effect size estimators are biased when the parametric models are incorrect (e.g., under unknown heteroskedasticity). We provide simple formulas to compute power and sample size and use simulations to assess the bias and standard error of the effect size estimator in finite samples. Because the new index is invariant across models, it has the potential to make communication and comprehension of effect size uniform across the behavioral sciences.BACKGROUND Many meshes are available for use in laparoscopic inguinal hernia repair. The surgeon must consider several factors when choosing a mesh for hernia repair including clinical outcomes, cost, and ease of use. The purpose of this study was to compare two different lightweight polypropylene meshes for laparoscopic and robotic inguinal hernia repairs. METHODS Subjects were randomized immediately before surgery. Data were reported in N (%) and median [Q1-Q3], comparisons of mesh insertion time were tested using a 2 × 2 ANOVA on the ranked times, comparisons between categorical variables were tested with Fisher's Exact, and all data were analyzed using SAS® 9.4 (SAS Institute, Inc.). RESULTS Between January 2015 and June 2016, 50 subjects were enrolled; two were excluded. Of 48 eligible subjects, most were Caucasian (N = 42, 88%), male (N = 37, 77%), with a median age of 63, and were randomized evenly between 3DMax™ mesh and Ultrapro® mesh. Robotic mesh placement significantly increased insertion time regardless of mesh type (p  less then  .